何泓睿

Key Skills

Software

Label Studio

Top Subject Matter

Object detection and classification

NLP and LLM evaluation

LLM prompt evaluation and response ranking

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity (NER) Classification

Freelancer Overview

AI Data Annotator – Image Annotation Project. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Prodigy. Education includes Bachelor of Engineering, Huazhong University of Science and Technology (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Evaluation.

Labeling Experience

Prompt Evaluator – LLM Training Project

ProdigyText

I evaluated and ranked AI-generated responses as part of LLM training projects. This involved comparing different model outputs, selecting the most relevant response, and providing detailed feedback. My work directly contributed to improving model alignment and output quality. • Assessed correctness, fluency, and relevance of LLM outputs • Performed comparative response ranking and selection • Delivered structured feedback for model improvements • Maintained rigorous quality standards for evaluation.

2024 - Present

AI Data Annotator – Image Annotation Project

Label StudioImageBounding Box

I labeled images for object detection, classification, and segmentation following detailed project guidelines. I used both Label Studio and CVAT to draw bounding boxes and polygons, ensuring thoroughness and high accuracy. My responsibilities included reviewing and correcting annotations to optimize data quality. • Annotated for object detection, classification, and segmentation • Used Label Studio and CVAT tools expertly • Maintained high annotation accuracy and guideline consistency • Improved and reviewed dataset quality and corrections.

2024 - Present

NLP Data Annotator – Text Annotation Project

ProdigyTextEntity (NER) Classification

I annotated text for tasks like sentiment analysis, topic classification, and intent detection. My work involved entity recognition, categorization, and relevance assessment using precise labeling techniques. I evaluated and ranked large language model (LLM) responses for helpfulness, correctness, and safety. • Performed sentiment and topic annotation for text data • Conducted intent detection and entity recognition • Ranked and evaluated LLM-generated outputs • Ensured consistent and high-quality text annotations.

2023 - Present

Education

Work History